code: def albert_xlarge_cfg():
      cfg = base_cfg()
      cfg.model_name = "google_albert_xlarge_v2"
      cfg.batch_size = 1
      cfg.num_accumulated = 12
      cfg.max_grad_norm = 0.1
      return cfg
  
file_path: gluon-nlp/scripts/question_answering/commands/generate_commands.py
imports: import re
  import os
  from gluonnlp.utils.config import CfgNode
label_desc: Use image node_id 4 for calling a global function with example usage: albert_xlarge_cfg() and returns: cfg